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EXiT*CBR.v2: Distributed case-based reasoning tool for medical prognosis

In this work we propose a user-friendly medically oriented tool for prognosis development systems and experimentation under a case-based reasoning methodology. The tool enables health care collaboration practice to be mapped in cases where different doctors share their expertise, for example, or where medical committee composed of specialists from different fields work together to achieve a final prognosis. Each agent with a different piece of knowledge classifies the given cases through metrics designed for this purpose. Since multiple solutions for the same case are useless, agents collaborate among themselves in order to achieve a final decision through a coordinated schema. For this purpose, the tool provides a weighted voting schema and an evolutionary algorithm (genetic algorithm) to learn robust weights. Moreover, to test the experiments, the tool includes stratified cross-validation methods which take the collaborative environment into account. In this paper the different collaborative facilities offered by the tool are described. A sample usage of the tool is also provided

This research project has been partially funded through the projects labelled TIN2008-04547, DPI2011-24929 and CTQ2008-06865-C02-02 and the grants UDG-BR10/18 and FPU-AP2009-2831

Elsevier

Director: Ministerio de Ciencia e Innovación (Espanya)
Ministerio de Educación y Ciencia (Espanya)
Autor: Pla Planas, Albert
López Ibáñez, Beatriz
Gay Sacristán, Pablo
Pous i Sabadí, Carles
Data: febrer 2013
Resum: In this work we propose a user-friendly medically oriented tool for prognosis development systems and experimentation under a case-based reasoning methodology. The tool enables health care collaboration practice to be mapped in cases where different doctors share their expertise, for example, or where medical committee composed of specialists from different fields work together to achieve a final prognosis. Each agent with a different piece of knowledge classifies the given cases through metrics designed for this purpose. Since multiple solutions for the same case are useless, agents collaborate among themselves in order to achieve a final decision through a coordinated schema. For this purpose, the tool provides a weighted voting schema and an evolutionary algorithm (genetic algorithm) to learn robust weights. Moreover, to test the experiments, the tool includes stratified cross-validation methods which take the collaborative environment into account. In this paper the different collaborative facilities offered by the tool are described. A sample usage of the tool is also provided
This research project has been partially funded through the projects labelled TIN2008-04547, DPI2011-24929 and CTQ2008-06865-C02-02 and the grants UDG-BR10/18 and FPU-AP2009-2831
Format: application/pdf
Accés al document: http://hdl.handle.net/10256/9599
Llenguatge: eng
Editor: Elsevier
Col·lecció: info:eu-repo/semantics/altIdentifier/doi/10.1016/j.dss.2012.12.033
info:eu-repo/semantics/altIdentifier/issn/0167-9236
info:eu-repo/semantics/altIdentifier/eissn/1873-5797
info:eu-repo/grantAgreement/MICINN//DPI2011-24929/ES/I-WMS: METODOS DE SOPORTE A LA DECISION PARA SISTEMAS DE GESTION DE WORKFLOWS FLEXIBLES/
info:eu-repo/grantAgreement/MICINN//TIN2008-04547/ES/SUBASTAS ROBUSTAS MEDIANTE LA INCORPORACION DE TECNICAS DE SATISFACTIBILIDAD MODULO TEORIAS/
info:eu-repo/grantAgreement/MICINN//CTQ2008-06865-C02-02/ES/RDS GRANULAR DE UNA ETAPA PARA EBN: DISEÑO Y OPERACION CON UN SISTEMA DE CONTROL AVANZADO/
Drets: Tots els drets reservats
Matèria: Raonament basat en casos
Case-based reasoning
Diagnòstic -- Presa de decisions
Diagnosis -- Decision making
Medicina -- Informàtica
Medicine -- Data processing
Sistemes d’ajuda a la decisió
Decision support systems
Sistemes multiagent
Multiagent systems
Algorismes genètics
Computer algorithms
Intel·ligència artificial -- Aplicacions a la medicina
Artificial intelligence -- Medical applications
Títol: EXiT*CBR.v2: Distributed case-based reasoning tool for medical prognosis
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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